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Digitalization Processes and Bridge Information Modeling for Existing Bridges

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Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT 2021)

Abstract

Bridges constant assessment, monitoring and retrofitting are key aspects to prevent inadequate damage situations. Considering the importance of these processes, a new official guideline for Bridge evaluation, classification and monitoring has been issued in Italy. The usage of BIM methodology comes as a logical solution to store and manage all information related to the bridge surveillance process and create a unique database. In the present work, HBIM methodologies are implemented for the creation of a damage database and new approaches are tested for the application of the guidelines directly on the BIM environment. Using the dismantled structures of Largo Grosseto bridge as a case study and damage information previously recovered as input data, HBIM models are created using two different methodologies: Parametric modelling and Mesh-to-BIM process. Moreover, the utility of the database created is expanded thanks to the usage of visual programming tools. The evaluation of the modelling processes highlights the effectiveness of BIM for infrastructure monitoring and classification. The results obtained demonstrate the way towards a new BIM monitoring standard procedure for infrastructure surveillance processes.

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References

  1. Song G, Wang C, Wang B (2017) Structural Health Monitoring (SHM) of civil structures. Appl Sci 7:789. https://doi.org/10.3390/app7080789

    Article  Google Scholar 

  2. Lynch J, Loh K (2006) A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib Dig 38:91–128

    Article  Google Scholar 

  3. Ministero delle Infrastrutture e dei Trasporti (2020) Linee Guida per la Classificazione e Gestione del Rischio, la Valutazione della Sicurezza ed il Monitoraggio dei Ponti Esistenti, Rome, Italy

    Google Scholar 

  4. Shim C, Yun N, Song H (2011) Application of 3D bridge information modelling to design and construction of bridges. Procedia Eng 14:95–99

    Article  Google Scholar 

  5. Yang X, Yi-Chou L, Murtiyoso A, Koehl M, Grussenmeyer P (2019) HBIM modeling from the surface mesh and its extended capability of knowledge representation. ISPRS Int J Geo-Informat 8(7):301. https://doi.org/10.3390/ijgi8070301

    Article  Google Scholar 

  6. Pocobelli DP, Boehm J, Bryan P, Still J, Grau-Bové J (2018) Building information models for monitoring and simulation data in heritage buildings. Int Archiv Photogrammet Remote Sens Spatial Inf Sci XLII–2:909–916. https://doi.org/10.5194/isprs-archives-XLII-2-909-2018

    Article  Google Scholar 

  7. Simeone D, Cursi S, Toldo I, Carrara G (2014) B(H)IM -Built Heritage Information Modelling

    Google Scholar 

  8. Rocha G, Mateus L, Fernández J, Ferreira V (2020) A scan-to-BIM methodology applied to heritage buildings. Heritage 3:47–67. https://doi.org/10.3390/heritage301000

    Article  Google Scholar 

  9. Sun Z, Zhang Y (2018) Using drones and 3D modelling to survey Tibetan architectural heritage: a case study with the multi-door stupa. Sustainability 10:2259

    Article  Google Scholar 

  10. Barazzetti L, Banfi F, Brumana R, Previtali M (2015) Creation of parametric BIM objects from point clouds using nurbs. Photogram Rec 30:339–362

    Article  Google Scholar 

  11. Santagati C, Turco M, Garozzo R (2018) Reverse information modelling for historic artefacts: towards the definition of a level of accuracy for ruined heritage. ISPRS – Int Archiv Photogrammet Remote Sens Spatial Inf Sci XLII-2:1007–1014

    Google Scholar 

  12. Yang X, Koehl M, Grussenmeyer P (2018) Mesh-To-BIM: from segmented mesh elements to BIM model with limited parameters. ISPRS – Int Archiv Photogrammet Remote Sens Spatial Inf Sci XLII-2:1213–1218. https://doi.org/10.5194/isprs-archives-XLII-2-1213-2018

  13. Keviczky L, Bars R, Hetthéssy J, Bányász C (2019) Case study. Control Engineering: MATLAB Exercises. ATCSP. Springer, Singapore, pp 265–274. https://doi.org/10.1007/978-981-10-8321-1_16

    Chapter  MATH  Google Scholar 

  14. Boddupalli C, Sadhu A, Azar E, Pattyson S (2019) Improved visualization of infrastructure monitoring data using building information modelling. Struct Infrastruct Eng 15:1–17. https://doi.org/10.1080/15732479.2019.1602150

    Article  Google Scholar 

  15. Barazzetti L et al (2015) Cloud-to-BIM-to-FEM: structural simulation with accurate historic BIM from laser scans. Simulat Model Pract Theory 57:71–87. https://doi.org/10.1016/j.simpat.2015.06.004

    Article  Google Scholar 

  16. Zhao Z et al (2019) Integrating BIM and IoT for smart bridge management. IOP Conf Ser Earth Environ Sci 371:022034. https://doi.org/10.1088/1755-1315/371/2/022034

    Article  Google Scholar 

  17. Biondini F et al (2021) BRIDGE|50 research project: residual structural performance of a 50-year-old bridge. In: Yokota H, Frangopol DM (Eds). Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), 28 June–2 July 2020 (postponed to 11–15 April 2021), Sapporo, Japan. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. London: CRC Press, Taylor & Francis Group

    Google Scholar 

Download references

Acknowledgments

BRIDGE|50 is a research project based on a research agreement among universities, public authorities, and private companies. Members of the Management Committee: S.C.R. Piemonte (President); Politecnico di Milano (Scientific Coordinator); Politecnico di Torino (Scientific Responsible of the Experimental Activities); Lombardi Engineering (Secretary); Piedmont Region; City of Turin; Metropolitan City of Turin; TNE Torino Nuova Economia; ATI Itinera & C.M.B.; ATI Despe & Perino Piero; Quaranta Group. BRIDGE|50 website: http://www.bridge50.org.

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Correspondence to Francesco Tondolo .

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Polania, D.R. et al. (2022). Digitalization Processes and Bridge Information Modeling for Existing Bridges. In: Pellegrino, C., Faleschini, F., Zanini, M.A., Matos, J.C., Casas, J.R., Strauss, A. (eds) Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. EUROSTRUCT 2021. Lecture Notes in Civil Engineering, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-030-91877-4_108

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  • DOI: https://doi.org/10.1007/978-3-030-91877-4_108

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  • Online ISBN: 978-3-030-91877-4

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